}

	animal = Animal{From: "somewhere"}              // No name fields, should be filled with the default value (galeone)
	DB.Save(&animal).Update("From", "a nice place") // The name field should be untouched
	DB.First(&animal, animal.Counter)
	if animal.Name != "galeone" {
		t.Errorf("Name fields shouldn't be changed if untouched, but got %v", animal.Name)
	}

	// When changing a field with a default value, the change must occur

# Note: in awk, "print $N" prints the Nth "field", where fields are strings separated
# by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings
# separated by the character <x>. Therefore, -F\' (escaped single quote) means that field
# $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below.

                "Configure " + dispatcherMeta.displayName());
        context.addInHeader("");

        for (DispatcherMeta.Field field : dispatcherMeta.fields()) {
            String fieldKey = field.getKey();
            String fieldDescription = "Configure " + fieldKey + ": " + field.getDescription();
            if (field.getOptions().isPresent()) {
                // list options
                ListPromptBuilder listPromptBuilder =

        fields.put(key, value);
    }

    public String getLogMessage() {
        return getSearchWord();
    }

    @Override
    public Map<String, Object> toSource() {
        final Map<String, Object> sourceMap = super.toSource();
        if (fields != null) {
            sourceMap.putAll(fields);
        }

                    "msg": "Field required",
                    "input": {"name": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "price"],
                    "msg": "field required",
                    "type": "value_error.missing",

                    "msg": "Field required",
                    "input": {"name": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "price"],
                    "msg": "field required",
                    "type": "value_error.missing",

}

// ParseUniqueConstraints parse schema unique constraints
func (schema *Schema) ParseUniqueConstraints() map[string]UniqueConstraint {
	uniques := make(map[string]UniqueConstraint)
	for _, field := range schema.Fields {
		if field.Unique {
			name := schema.namer.UniqueName(schema.Table, field.DBName)
			uniques[name] = UniqueConstraint{Name: name, Field: field}
		}
	}
	return uniques

The `HeroUpdate` *data model* is somewhat special, it has **all the same fields** that would be needed to create a new hero, but all the fields are **optional** (they all have a default value). This way, when you update a hero, you can send just the fields that you want to update.

Because all the **fields actually change** (the type now includes `None` and they now have a default value of `None`), we need to **re-declare** them.

customizations.

- Avoid exposing a single subkey of a multi-value field if it would be more flexible to expose the entire field as arbitrary YAML. If the change truly is generally purpose, it is generally preferred to have broader APIs. For example, instead of providing direct access to each of the complex fields in [affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/), just providing a single `affinity` field that is passed through as-is to the Kubernetes resource. This...

                : ComponentUtil.getRoleQueryHelper().build(searchRequestType).stream().filter(StringUtil::isNotBlank)
                        .toArray(n -> new String[n]);
        final String[] baseFields = fields != null ? fields : fessConfig.getSuggestPopularWordFieldsAsArray();
        final String[] baseExcludes = excludes != null ? excludes : fessConfig.getSuggestPopularWordExcludesAsArray();
        try {